| Experimental Evaluation: Can Humans Recognise Social Media Bots? M Kolomeets, O Tushkanova, V Desnitsky, L Vitkova, A Chechulin Big Data and Cognitive Computing 8 (3), 24, 2024 | | 2024 |
| Two-model active learning approach for inappropriate information classification in social networks D Levshun, O Tushkanova, A Chechulin International Journal of Information Security 22 (6), 1921-1936, 2023 | 1 | 2023 |
| Detection of cyberattacks and anomalies in cyber-physical systems: Approaches, data sources, evaluation O Tushkanova, D Levshun, A Branitskiy, E Fedorchenko, E Novikova, ... Algorithms 16 (2), 85, 2023 | 23 | 2023 |
| Active learning approach for inappropriate information classification in social networks D Levshun, O Tushkanova, A Chechulin 2022 30th Euromicro International Conference on Parallel, Distributed and …, 2022 | 2 | 2022 |
| Security measuring system for iot devices E Doynikova, E Novikova, I Murenin, M Kolomeec, D Gaifulina, ... European Symposium on Research in Computer Security, 256-275, 2021 | 4 | 2021 |
| Camouflaged bot detection using the friend list M Kolomeets, O Tushkanova, D Levshun, A Chechulin 2021 29th Euromicro international conference on parallel, distributed and …, 2021 | 16 | 2021 |
| Learning an Ontology Of Text Data V Gorodetsky, O Tushkanova CEUR Workshop Proceedings, 37-44, 2021 | | 2021 |
| Semantic Technologies for Semantic Applications. Part 2. Models of Comparative Text Semantics VI Gorodetsky, ON Tushkanova Scientific and Technical Information Processing 47, 365-373, 2020 | | 2020 |
| The Methodology of Extraction and Analysis of Event Log Social Graph A Soboleva, O Tushkanova 2020 26th Conference of Open Innovations Association (FRUCT), 415-422, 2020 | 1 | 2020 |
| The intelligent system for detection and counteraction of malicious and inappropriate information on the Internet I Kotenko, L Vitkova, I Saenko, O Tushkanova, A Branitskiy Ai Communications 33 (1), 13-25, 2020 | 7 | 2020 |
| Hybrid approach for bots detection in social networks based on topological, textual and statistical features L Vitkova, I Kotenko, M Kolomeets, O Tushkanova, A Chechulin Proceedings of the Fourth International Scientific Conference “Intelligent …, 2020 | 7 | 2020 |
| An approach to creating an intelligent system for detecting and countering inappropriate information on the internet L Vitkova, I Saenko, O Tushkanova Intelligent Distributed Computing XIII, 244-254, 2020 | 8 | 2020 |
| Semantic technologies for semantic applications. Part 1. Basic components of semantic technologies VI Gorodetsky, ON Tushkanova Scientific and Technical Information Processing 46 (5), 306-313, 2019 | 3 | 2019 |
| Semantic technologies for semantic applications. Part 2. Models of comparative text semantics VI Gorodetsky, ON Tushkanova Artificial intelligence and decision making, 49-61, 2019 | 1 | 2019 |
| Knowledge net: model and system for accumulation, representation, and use of knowledge O Tushkanova, V Samoylov IFAC-PapersOnLine 52 (13), 1150-1155, 2019 | 4 | 2019 |
| Semantic technologies for semantic applications. Part 1. Basic components of semantic technologies VI Gorodetsky, ON Tushkanova Artificial Intelligence and Decision Making, 61-71, 2018 | 7 | 2018 |
| A method for collaborative visual creation of a knowledge graph DV Kudryavtsev, TA Gavrilova, IA Leshcheva, A Begler, M Kubelski, ... GSOM EMERGING MARKETS CONFERENCE 2018, 98-102, 2018 | 4 | 2018 |
| Mind mapping and spreadsheets in collaborative design of knowledge graphs D Kudryavtsev, T Gavrilova, I Leshcheva, A Begler, M Kubelskiy, ... Joint Proceedings of the BIR 2018 Forum, Workshops and Doctoral Consortium …, 2018 | 5 | 2018 |
| Data-Driven Semantic Concept Analysis for User Profile Learning in 3G Recommender Systems V Gorodetsky, O Tushkanova 2015 IEEE/WIC/ACM International Conference on Web Intelligence and …, 2015 | 1 | 2015 |
| Data-driven semantic concept analysis for automatic actionable ontology design O Tushkanova, V Gorodetsky 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015 | 1 | 2015 |
